getcargohq/cargo-skills

cargo-observability

Watch a Cargo workspace and get told when something breaks — scheduled threshold alerts over workflow telemetry (spans, runs, records), a storage model freshness or row count, or any SQL query, firing a connector, tool, or agent when a metric breaches.

View source
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Cargo CLI — Observability

Alerts. An alert is a scheduled threshold check. On every cron tick it measures a scope (what to watch), compares the measured value against a threshold (the breach condition), and on breach fires actions — each as its own run — and records an event. This is the proactive counterpart to cargo-diagnostics: diagnostics explains a failure after you notice it; an alert tells you the moment a metric crosses a line.

Everything lives under one CLI domain:

bash
cargo-ai observability alert   …   # the alert CRUD + preview surface
cargo-ai observability event   …   # an alert's firing history

Bootstrap

Already signed in (cargo-ai whoami returns a workspace)? Skip to the next section.

bash
npm install -g @cargo-ai/cli            # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email you@company.com  # emailed code, no browser; creates the account on first use
                                        # alternatives: --oauth (browser) · --token <api-token> (CI)
cargo-ai whoami                         # confirm the active workspace before any write

Every command prints JSON to stdout; failures exit non-zero with {"errorMessage": "..."}. Anything that creates a run or a batch is async — pass --wait-until-finished or poll the matching get. Alerts are guarded by observability:read / observability:write permissions. If a create/update/remove returns a permission error, the token lacks observability:write — use an admin token or have one granted (`../cargo-workspace-management/SKILL.md`). When the full skill bundle is installed, `../cargo/references/prerequisites.md` adds the CLI version pin, token scopes, and the admin-only surface.

The three moving parts of every alert

PartFlagWhat it is
Scope--scope <json>What to measure — one of six sources: spans, runs, records, orchestrationQuery, storageQuery, model.
Threshold--threshold <json>When it breaches — a metric + operator (gte/lte) + value. The metric menu depends on the scope.
Actions--actions <json>What happens on breach — an Action[] (connector / tool / agent / native nodes), each fired as its own run. Optional; omit for a silent alert whose breaches you read from its events.

The scope and threshold are a matched pair — a metric can only be computed over the scopes that produce it (e.g. errorRate needs telemetry, freshness needs a model). The full compatibility matrix, every metric's meaning and units, and every scope filter field are in [`references/scopes-and-thresholds.md`](references/scopes-and-thresholds.md) — read it before writing a --scope/--threshold pair you haven't used before.

The golden rule: preview before you create

alert preview evaluates a scope + threshold right now, without firing actions or writing an event. It returns the value the alert would measure and whether that value breaches — so you calibrate the threshold against reality instead of guessing, and you confirm the scope/threshold pairing is even valid before committing it to a schedule.

bash
cargo-ai observability alert preview \
  --scope '{"kind":"runs","workflowUuid":"<uuid>","statuses":["error"]}' \
  --threshold '{"metric":"errorRate","operator":"gte","value":10}' \
  --window-minutes 1440          # last 24h; default 60
  • outcome: "computed"{ value, total, failed, isBreached }. Set your threshold from value.
  • outcome: "empty" → the window had nothing to measure (see the empty-vs-zero rule in references/alert-lifecycle.md).
  • outcome: "notComputed"{ errorMessage }. A bad SQL query, a deleted model, or an invalid scope/threshold pairing all land here — fix it before creating.

--window-minutes only shapes the window for telemetry scopes (spans/runs/records). A model is measured as it stands right now; a query scope windows itself in its SQL.

Always preview first. It is free, it is the only way to size a threshold correctly, and it catches an invalid pairing before it becomes a schedule that writes an error event every tick.

Commands

All commands output JSON. Reads need a token with observability:read; create/update/remove need observability:write (an admin token has both; a plain member token may not — see Bootstrap above).

Create an alert

bash
cargo-ai observability alert create \
  --name "CRM sync error rate" \
  --description "Page when the HubSpot sync starts failing" \
  --cron "*/30 * * * *" \
  --scope '{"kind":"runs","workflowUuid":"<workflow-uuid>","statuses":["error"]}' \
  --threshold '{"metric":"errorRate","operator":"gte","value":10}' \
  --actions '[{"kind":"agent","agentUuid":"<agent-uuid>","config":{"message":"{{alert.name}} breached: {{event.value}}% errors. {{alert.url}}"}}]'
  • --cron — 5-field cron or @every <interval> (e.g. @every 30m), always UTC, at most once a minute. The UI presets bottom out at 30 minutes; go tighter only with reason (every tick scans ClickHouse and can fire paid runs).
  • --disabled — create it paused (evaluate nothing until you update --enabled true).
  • --folder <uuid> — file it under a folder (from cargo-workspace-management).
  • --actions — optional. Omit for a silent alert. Each entry is a configured action: unlike orchestration action execute, which carries no config at all, an alert action requires one — that is where the templated message lives. The config is templated against the firing context ({{alert.*}}, {{event.*}}) — see `references/alert-lifecycle.md` for the full variable list. Each action's target (agentUuid/toolUuid/connectorUuid) is validated to exist in the workspace at create time.

List, get, update, remove

bash
cargo-ai observability alert list                      # all alerts, each with its lastEvent
cargo-ai observability alert get <uuid>                # one alert + its lastEvent

cargo-ai observability alert update --uuid <uuid> \
  --enabled false                                      # pause it (true/false — must be literal)
cargo-ai observability alert update --uuid <uuid> \
  --threshold '{"metric":"errorRate","operator":"gte","value":20}'   # raise the bar
cargo-ai observability alert update --uuid <uuid> \
  --description none                                    # "none" clears; --folder none unfiles

cargo-ai observability alert remove <uuid>

--enabled is strict: only the literal true or false are accepted — --enabled yes is rejected rather than silently disabling the alert. On update, any flag you omit is left unchanged; --description none / --folder none are the explicit "clear it" spellings.

Inspect firing history

bash
cargo-ai observability event list <alertUuid>          # latest evaluation events, newest first

Each event carries status (healthy / unhealthy / error), the measured value, a snapshot of the scope/threshold/actions as they were when it fired (the alert can change afterwards), runUuids (the runs the actions spawned — feed these to cargo-diagnostics or orchestration run get), the evaluation window, and errorMessage for error events. unhealthy = breached and fired; error = the metric could not be computed.

How evaluation actually works

The lifecycle — cron windows and the ClickHouse indexing lag, the at-most-once firing guarantee (an alert never re-fires on the same rows; a sustained breach is re-detected on the next tick), the empty-window-vs-real-zero rule that makes lte a dead-man's switch, and the full {{alert.*}}/{{event.*}} templating context — is documented in [`references/alert-lifecycle.md`](references/alert-lifecycle.md). Read it before you rely on an alert for anything time-sensitive.

Worked recipes

[`references/examples/recipes.md`](references/examples/recipes.md) — copy-paste starting points: error-rate pager, credit-budget guard, p95-latency watch, a dead-man's switch (count lte 0 — alert when a workflow stops running), model freshness / empty-model alerts, and a custom SQL-query alert.

Declarative alternative: defineAlert (CDK)

This skill is the imperative surface — one-off cargo-ai observability alert … calls. To manage an alert as code (in git, reproducible, deployed alongside the workflow it watches), use CDK's defineAlert builder instead — see `../cargo-cdk/SKILL.md` and "Declarative vs imperative" in the router. Same scope/threshold/action model; different authoring mode.

Cost discipline

An alert's actions fire as real runs — if an action calls a paid connector action or an agent, every breach re-bills. A poorly-sized threshold on a tight cron can breach (and bill) every tick. Two safeguards:

  • Preview to size the threshold so it fires on genuine anomalies, not normal variance.
  • If an action node calls a credits-based provider action, treat it like any scheduled paid workflow: read that provider's playbook (esp. its Recurring use section) in ../cargo-gtm/provider-playbooks/, and apply the spend rules in `../cargo-gtm/references/cost-discipline.md`. Prefer cheap notification actions (an agent that posts to Slack, a connector notification) over anything that fans out.

When the CLI surprises you

If a documented flag, scope field, or response shape doesn't match what you observe (a fix may have shipped, or the docs may have drifted), re-refresh the CLI and skills; if it still doesn't add up, file a report — it's read by the team:

bash
cargo-ai workspaceManagement report create \
  --title "<one-line summary>" \
  --description "<exact command(s), errorMessage verbatim, expected vs actual, UUIDs>"

Presenting results

Follow `../cargo/references/interaction.md`: lead with the outcome ("alert created, will page the on-call agent when the CRM sync's error rate hits 10% over 30 min"), summarize an alert or its events as a compact table, never dump raw alert get / event list JSON into the conversation.

from this repository

More skills

All skills
getcargohq
Community

cargo

Router for the Cargo CLI skill bundle — load first for anything Cargo, and whenever a task spans two Cargo domains. Explains what each skill owns, declarative workspace-as-code (cargo-cdk) vs the imperative CLI, the UUID and slug flow between skills, async polling of runs and batches, end-to-end use cases, and the gotchas that fail silently (conjonction spelling, run vs batch, model-uuid vs segment-uuid). Triggers: \"set up Cargo\", \"what can Cargo do\", \"which Cargo skill\", \"bootstrap my workspace\", \"I have a Cargo account\", \"cargo-ai …\", or any cargo-ai command whose domain you are unsure of. Skip when: the task obviously belongs to one skill — load that skill directly.

installs
3
GitHub stars
17
Updated
Sep 5
getcargohq
Community

cargo-ai

Build and configure AI agents inside Cargo — create an agent, choose its model and temperature, write its prompt, attach knowledge for retrieval (RAG), connect MCP tool servers, manage memories, and deploy releases. Triggers: \"create an agent\", \"make an agent that\", \"give the agent our docs\", \"attach this knowledge base\", \"attach this library to the agent\", \"add resources to the agent release\", \"connect an MCP server\", \"expose our tools as an MCP server\", \"use Cargo from Claude Desktop or ChatGPT\", \"change the agent model\", \"what does the agent remember\", \"deploy the agent\", \"the agent is answering wrong\". Skip when: uploading the knowledge files themselves — use cargo-content; sending the agent a message or running it over records — use cargo-orchestration.

installs
3
GitHub stars
17
Updated
Sep 5
getcargohq
Community

cargo-analytics

Get data out of Cargo and measure what ran — download a run output, export a segment or model to CSV or JSON, and pull run and batch success and error counts. Triggers: \"download the results\", \"export this to CSV\", \"give me the file\", \"how many succeeded\", \"what is my error rate\", \"send me the enriched list\", \"get the output of that run\", \"how many records did it write\". Skip when: asking why something failed or where credits went — use cargo-diagnostics; asking about credits, plans, or invoices — use cargo-billing.

installs
3
GitHub stars
17
Updated
Sep 5
getcargohq
Community

cargo-billing

Understand what Cargo is costing — remaining credits, usage broken down by workflow, connector, or agent, subscription state, and invoice history. Triggers: \"how many credits do I have left\", \"what did that cost\", \"why is my bill so high\", \"am I about to run out\", \"will this fit in our budget\", \"show me my invoices\", \"how much have I spent this month\", \"what plan am I on\", \"what do I get for free\", \"how many free credits\", \"can I afford this run\", \"add a card\", \"update my payment method\", \"why was my card declined\". Needs a token with admin access. Skip when: attributing spend to specific nodes or cutting a play cost — use cargo-diagnostics.

installs
3
GitHub stars
17
Updated
Sep 5